® 
Does your system hold up
over time?
An Endurance Test investigates whether your systems stay reliable under sustained load. Memory leaks, database connection pool exhaustion and slow degradation only become visible after hours or days of continuous operation.
What is an Endurance Test?
An Endurance Test simulates realistic usage patterns over an extended period, typically 8 to 72 hours, to expose stability problems that only manifest under sustained load. Where a load test measures peak performance, an endurance test reveals gradual degradation, resource leaks and stability issues that conventional shorter tests miss entirely.
Find the problems that only appear over time
The team simulates realistic usage patterns over an extended period. The load corresponds to expected usage or slightly above it. The goal is not to break the system, but to expose hidden stability problems that only occur after hours or days.
Memory leaks, database connection pool exhaustion and slow performance degradation are invisible in short tests. An endurance test runs long enough to surface these issues in a controlled environment, before users discover them.
The results provide insight into the long-term stability of your application and infrastructure. Specific recommendations help your development and operations teams address the identified issues.
Short tests miss long-term failures
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Memory leaks cause degradation hours after deployment
Memory leaks are rarely visible in short load tests. They accumulate gradually, causing systems to slow down and eventually crash days after a deployment that appeared successful.
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Database connection pools exhaust under sustained load
Connection pool issues only manifest after extended operation. When the pool exhausts, new requests fail entirely. This is a common cause of production outages that were not detected in testing.
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Log and temp file growth eventually fills disk space
Log files, temp files and caches that grow without bounds are common production failure modes. They are invisible in short tests but visible in endurance tests that run long enough to accumulate significant volume.
What we measure
How we run an endurance test
Scoping
Target application, load level, duration, success criteria and monitoring points. Defining what "stable" looks like.
Test scenario design
Realistic usage patterns for sustained load. Representative user journeys that reflect actual production traffic.
Execution
Long-duration test with continuous monitoring. Automated alerting for anomalies detected during the run.
Analysis
Identification of degradation patterns, resource leaks and stability issues. Trend analysis over the full test duration.
Reporting
Report with performance trends, identified stability problems and specific recommendations per issue found.
Deliverables
- Endurance test report
- Performance trends over the test period
- Identified stability problems
- Resource utilisation graphs
- Recommendations per identified issue
Who needs an endurance test
Organisations with applications that must be available 24/7
If your service must run continuously, validate that it can. Endurance testing confirms long-term stability before you need it.
Companies experiencing stability problems after extended uptime
Periodic crashes or degradation after several days of operation are classic endurance test indicators. Find the root cause before it hits production again.
Development teams hunting memory leaks and resource exhaustion
Endurance testing is the most reliable method for finding slow-burning resource issues that evade all other testing methods.
Organisations before or after a major release
Validate stability before going live, or after deployment when production behaviour differs from test.
FAQ
How long does an Endurance Test take?
How does this differ from a Load Test?
Is this run on production or a test environment?
What problems are typically found?
Can this be combined with other performance tests?
Validate long-term stability
before users find the problem.
Request an endurance test. Find the slow failures before they become production incidents.